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P2 An exploratory study of productivity perceptions in software teams

软件团队中生产力感知的探索性研究
ICSE Proceedings of the 44th International Conference on Software Engineering2022匹配度 1/10 · 该论文研究软件团队中个人与团队生产力感知,属于经验性软件工程/人因研究,未涉及静态分析、LLM/Agent、浮点程序分析或贝叶斯程序分析等用户核心方向。引用 17 inbox
Anastasia Ruvimova, Alexander Lill, Jan Gugler, Lauren Howe, Elaine Huang, Gail Murphy, Thomas Fritz
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:通过对五个软件团队三个月的调查,发现个人生产力感知是团队生产力感知的最强预测因素。

本文关注软件开发中个体生产力感知与团队生产力感知之间的关系,以及团队协作对生产力判断的影响。作者收集了北美和欧洲五个软件团队、25 名开发者三个月内的 624 份每日调查和 2899 份自我报告,并进行分析。研究发现,开发者往往在流动的团队结构中工作,这会影响团队意识并增加衡量团队生产力的难度。更重要的是,感知到的个人生产力对感知到的团队生产力有最强预测作用,其影响甚至超过团队互动数量、计划外工作和会议时间。作者建议未来研究进一步探索流动团队结构如何影响个体与组织生产力。

问题
现有研究多关注个体生产力,但对开发者如何感知自身生产力与团队生产力之间的关系,以及团队协作因素如何影响这种感知,仍缺乏理解。
方法
对北美和欧洲五个软件团队的 25 名开发者进行为期三个月的每日调查与自我报告收集,共获得 624 份每日调查和 2899 份自我报告并进行统计分析。
评估
分析发现开发者常处于流动团队结构中,影响团队意识与团队生产力衡量;个人生产力感知最能预测团队生产力感知,超过团队互动、计划外工作和会议时间的影响。
原文摘要(Abstract)

Software development is a collaborative process requiring a careful balance of focused individual effort and team coordination. Though questions of individual productivity have been widely examined in past literature, less is known about the interplay between developers' perceptions of their own productivity as opposed to their team's. In this paper, we present an analysis of 624 daily surveys and 2899 self-reports from 25 individuals across five software teams in North America and Europe, collected over the course of three months. We found that developers tend to operate in fluid team constructs, which impacts team awareness and complicates gauging team productivity. We also found that perceived individual productivity most strongly predicted perceived team productivity, even more than the amount of team interactions, unplanned work, and time spent in meetings. Future research should explore how fluid team structures impact individual and organizational productivity.

链接与引用

DOI 原文 · PDF(开放获取) · DBLP

BibTeX
@inproceedings{RuvimovaLGHHM022,
  title = {An exploratory study of productivity perceptions in software teams},
  author = {Anastasia Ruvimova and Alexander Lill and Jan Gugler and Lauren Howe and Elaine Huang and Gail Murphy and Thomas Fritz},
  booktitle = {ICSE},
  year = {2022},
  doi = {10.1145/3510003.3510081}
}